This article describes how to create a *CreateCustomTable* R table with multiple statistics so that you can take advantage of all the customizations in the *CreateCustomTable* function.

The article explains how to go from a table with multiple statistics like this:

To a table that enables you to add in more font, color, and formatting customizations (examples under **See Also** below):

## Requirements

- A Displayr table showing multiple statistics, or a combined table created with R (see: How to Combine Tables with Multiple Statistics).

## Method

The example below reformats a multiple statistic table in R for the *CreateCustomTable* function. The code then automatically creates a list of spans to span both the Row % and Count rows of each brand. To modify for your own document, please read through the comments (denoted with #) and edit where appropriate.

The code below is on the more complex side so a familiarity with How to Work with Data in R, How to Perform Mathematical Calculations Using R, and How to Work with Conditional R Formulas is very useful.

You can see other options for further customizing the final table at CreateCustomTable. Click here for a similar example (and more) in your Displayr account.

- From the
**toolbar**, click the**Calculation**button and draw a box for your table on the page. - Paste in the following R code in the
**R CODE**box in the**object inspector**and then click**Calculate**:

###Identify table to use

mytable = table.Brand.attitude.5

###Convert the table (which is an array because there are multiple stats)

###to a 2 dimensional table

#load the reshape2 functions needed

library(reshape2)

#use melt() to make the table "long" with a row for each stat/row name pair

mytable=melt(mytable)

#use dcast() to make the table "wide" keeping two columns for brand (Var1) and statistic (Var3) and creating columns for each rating categories

mytable=dcast(mytable, Var1 + Var3 ~ Var2)

###Add in custom formatting for row% and counts

#round the data (in columns 3-5) to whole numbers

mytable[3:5]=apply(mytable[,3:5],2,round,0)

#add % to the row % rows (in columns 3-5)

mytable[mytable$Var3 == "Row %",3:5]=apply(mytable[mytable$Var3 == "Row %",3:5],2,paste0,"%")

###automatically create list of spans and format for final table

###(each brand span will span over the Row % and Count rows)

#create the list of lists automatically that create spans for final table using Var1

spans=lapply(unique(mytable$Var1),function(x) list(height=NROW(mytable)/length(unique(mytable$Var1)), label=x))

#create placeholder rownames which will be hidden later

rownames(mytable)=paste(mytable$Var1, mytable$Var3)

###Create the custom table

#row.header.labels are overridden as blank because we want to use spans to label

#col.widths sets the second column (the blank row labels) to 0 to hide it

flipFormat::CreateCustomTable(mytable[,!colnames(mytable) %in% c("Var1","Var3")],

row.header.labels=rep(" ",NROW(mytable)),

col.widths=c("25%","0%","25%","25%","25%"),

row.span.align.horizontal="right",

row.spans=spans,

row.span.pad=5,

border.width=1,

border.color="black")

Given the data manipulation above, it can be helpful to see a preview of what the table looks like after *melting* and *dcasting*.

After melting:

After dcasting using the formula Var1 + Var3 ~ Var2:

## See Also

How to Use Paste Functions to Create Dynamic Text Using R

How to Customize Fonts in a CreateCustomTable R Table

How to Add Row Spans to a CreateCustomTable R Table

How to Customize Colors on a CreateCustomTable R Table

How to Add Statistical Significance to CreateCustomTable R Tables

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